201 to 225 of 927 Remote R Jobs

communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯

communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯

communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯

in data science, machine learning, or applied statistics, with a focus on large-scale systems or infrastructure. Proficiency in relevant tools such as Python, R, or BigQuery, and experience with distributed computing. Comfort with machine learning frameworks and statistical modeling techniques. Outstanding problem-solving skills with the ability to tackle More ❯

marketing, and customer behaviour Strong technical proficiency in SQL and Excel (including pivot tables, lookups, and advanced formulas), with working knowledge of Python or R for deeper analysis and automation Strong grasp of testing methodologies, including A/B testing and geo-based experiments, with the ability to interpret and More ❯

Skills: A solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Exposure to ETL/ELT processes, SQL, NoSQL databases is a nice-to-have, providing a well-rounded background. Experience with More ❯

live deployment of data science solutions Appreciation of policy and claims processes and conduct risks Knowledge of data science toolkits and languages, such as R, Python, Scala High performing experience in data science and data analysis Experience of utilising system integration techniques such as APIs, web services Understanding of a More ❯

live deployment of data science solutions Appreciation of policy and claims processes and conduct risks Knowledge of data science toolkits and languages, such as R, Python, Scala High performing experience in data science and data analysis Experience of utilising system integration techniques such as APIs, web services Understanding of a More ❯

quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of More ❯

with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer More ❯

with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer More ❯

in biomedicine Excellent understanding of statistical concepts and methods, and their application to epidemiology Experience in analysis of large complex health datasets Proficiency in R or Python Excellent understanding of statistical considerations of study design Ability to work independently as well as part of cross-functional teams Excellent communication skills More ❯

the collections lifecycle Credit decisioning or building collections models Financial Services or FinTech, ideally consumer credit Experience with Python or other coding languages like R Experience working in a fast-paced and tech driven startup environment. General understanding of the regulatory environment for consumer credit (don't worry if not More ❯

and tools, and more interested in your attitude, learning speed and thought processes. Strong written-communication skills. Exposure to data-science tooling, e.g. Python, R, Julia. Eligibility to work in the UK. Nice to have: Previous applied experience, e.g. internships or research projects, with industry or in technology startups. Understanding More ❯

techniques to solve business problems or improve established processes. Proven ability to explore, combine and transform data from across disparate sources, writing code in R, Python or SQL that is testable and scalable. Significant demonstrable experience of building team capability through role modelling, mentoring and coaching. Evidence of strong stakeholder More ❯

An aptitude for problem-solving. Good interpersonal skills. Any knowledge or experience of supporting BI & data analytics software and languages such as Python, JSON, R, JavaScript, SQL, etc. would be a benefit but is not a requirement. Mace is an inclusive employer and welcomes interest from a diverse range of More ❯

experience of random forests, XGboosts or Monte Carlo. Proficiency in Python for data manipulation and model development. Otherwise, proficiency in another language (such as R, Java etc) with the ability to learn Python. Understanding of data ethics, fairness and responsible AI practices. A passion or interest in solving complex problems. More ❯

Deep technical expertise in statistical modeling, causal inference and advanced analytics 4+ years writing efficient SQL Proficiency in programming languages such as Python or R Excellent communication skills, with ability to translate complex analysis into clear insights for delivery to high level stakeholders Passion for solving complex problems and engaging More ❯

model estimation We are looking for following experience : * Numerate degree (Mathematics, Statistics, Physics, Programming, Data Science) or equivalent quantitative background * Proficiency in Python or R for large-scale data analysis * Experience with trend analysis, data fusion, and insight generation from big datasets * Skills in machine learning and advanced econometrics * Ability More ❯

and communication skills - able to articulate results clearly and concisely to senior team members. Are confident programming for analytics such as in Python or R Have an understanding of basic programming principles such as names, types, lists, arrays, control flow, exceptions Let’s talk about what’s in it for More ❯

model estimation We are looking for following experience Numerate degree (Mathematics, Statistics, Physics, Programming, Data Science) or equivalent quantitative background Proficiency in Python or R for large-scale data analysis Experience with trend analysis, data fusion, and insight generation from big datasets Skills in machine learning and advanced econometrics Ability More ❯

and optimising digital products. Track record of driving business decisions and impact. Strong technical skill set with analytical tools such as SQL, Python/R for analytics, PowerBI and/or Tableau for visualisation, Amplitude, Fullstory or Google Analytics as product optimisation tools. Comfortable at managing multiple projects and stakeholders More ❯

and optimising digital products. Track record of driving business decisions and impact. Strong technical skill set with analytical tools such as SQL, Python/R for analytics, PowerBI and/or Tableau for visualisation, Amplitude, Fullstory or Google Analytics as product optimisation tools. Comfortable at managing multiple projects and stakeholders More ❯

supply chain processes and manufacturing planning solutions such as RapidResponse, SAP, Oracle or Blue Yonder applications to support supply chain activities. Proficiency in SQL, R and/or Java Script. Open to travel 75% on average and 100% occasionally and can work effectively when working remotely from client sites. #Intermediate More ❯

and integrating complex, messy, multi-source datasets using tools like Python or R. Programming Proficiency: High proficiency in statistical programming languages, primarily Python or R, including relevant libraries for data analysis, modeling, and visualization. Database Management: Experience querying and managing data across different database systems (e.g., SQL). Data Visualization More ❯